Sell-in Report

Dataset statistics

Number of variables	21
Number of observations	2117035
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.8 GiB
Average record size in memory	912.8 B

Variable types

Numeric	8
DateTime	1
Categorical	12

Alerts

`store_name` has a high cardinality: 1560 distinct values	High cardinality
`deposit/distributor` has a high cardinality: 73 distinct values	High cardinality
`municipality/city` has a high cardinality: 310 distinct values	High cardinality
`sku` is highly correlated with `unit_price` and 1 other fields	High correlation
`units` is highly correlated with `total` and 1 other fields	High correlation
`unit_price` is highly correlated with `sku` and 1 other fields	High correlation
`unit_margin` is highly correlated with `sku` and 1 other fields	High correlation
`total` is highly correlated with `units` and 1 other fields	High correlation
`total_margin` is highly correlated with `units` and 1 other fields	High correlation
`sku` is highly correlated with `unit_price` and 1 other fields	High correlation
`units` is highly correlated with `total` and 1 other fields	High correlation
`unit_price` is highly correlated with `sku` and 1 other fields	High correlation
`unit_margin` is highly correlated with `sku` and 1 other fields	High correlation
`total` is highly correlated with `units` and 1 other fields	High correlation
`total_margin` is highly correlated with `units` and 1 other fields	High correlation
`units` is highly correlated with `total` and 1 other fields	High correlation
`unit_price` is highly correlated with `unit_margin`	High correlation
`unit_margin` is highly correlated with `unit_price`	High correlation
`total` is highly correlated with `units` and 1 other fields	High correlation
`total_margin` is highly correlated with `units` and 1 other fields	High correlation
`division` is highly correlated with `grade` and 3 other fields	High correlation
`sku_subcategory` is highly correlated with `sku_description` and 1 other fields	High correlation
`format` is highly correlated with `supplier`	High correlation
`grade` is highly correlated with `division` and 3 other fields	High correlation
`supplier` is highly correlated with `format`	High correlation
`sku_description` is highly correlated with `sku_subcategory` and 1 other fields	High correlation
`state` is highly correlated with `division` and 3 other fields	High correlation
`structure` is highly correlated with `division` and 3 other fields	High correlation
`sku_category` is highly correlated with `sku_subcategory` and 1 other fields	High correlation
`deposit/distributor` is highly correlated with `division` and 3 other fields	High correlation
`store_id` is highly correlated with `format` and 2 other fields	High correlation
`format` is highly correlated with `store_id` and 2 other fields	High correlation
`structure` is highly correlated with `division` and 3 other fields	High correlation
`division` is highly correlated with `structure` and 3 other fields	High correlation
`deposit/distributor` is highly correlated with `store_id` and 5 other fields	High correlation
`state` is highly correlated with `structure` and 3 other fields	High correlation
`supplier` is highly correlated with `store_id` and 1 other fields	High correlation
`grade` is highly correlated with `structure` and 3 other fields	High correlation
`sku` is highly correlated with `sku_description` and 4 other fields	High correlation
`sku_description` is highly correlated with `sku` and 5 other fields	High correlation
`sku_category` is highly correlated with `sku` and 5 other fields	High correlation
`sku_subcategory` is highly correlated with `sku` and 5 other fields	High correlation
`units` is highly correlated with `sku_description` and 5 other fields	High correlation
`unit_price` is highly correlated with `sku` and 4 other fields	High correlation
`unit_margin` is highly correlated with `sku` and 5 other fields	High correlation
`total` is highly correlated with `units` and 1 other fields	High correlation
`total_margin` is highly correlated with `units` and 1 other fields	High correlation
`id` has unique values	Unique

Reproduction

Analysis started	2021-10-17 16:00:58.987346
Analysis finished	2021-10-17 16:03:46.338073
Duration	2 minutes and 47.35 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

id
Real number (ℝ_≥0)

UNIQUE

Distinct	2117035
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1249979.587

Minimum	0
Maximum	2501729
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	24.2 MiB

Quantile statistics

Minimum	0
5-th percentile	123203.7
Q1	622100.5
median	1250273
Q3	1878664.5
95-th percentile	2377093.3
Maximum	2501729
Range	2501729
Interquartile range (IQR)	1256564

Descriptive statistics

Standard deviation	723773.447
Coefficient of variation (CV)	0.5790282134
Kurtosis	-1.205380782
Mean	1249979.587
Median Absolute Deviation (MAD)	628288
Skewness	0.000768806663
Sum	2.646250535 × 10¹²
Variance	5.238480026 × 10¹¹
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2047	1	< 0.1%
2143932	1	< 0.1%
2201240	1	< 0.1%
2203289	1	< 0.1%
2197146	1	< 0.1%
2199195	1	< 0.1%
2209436	1	< 0.1%
2205342	1	< 0.1%
2121377	1	< 0.1%
2115234	1	< 0.1%
Other values (2117025)	2117025	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%
11	1	< 0.1%
13	1	< 0.1%

Value	Count	Frequency (%)
2501729	1	< 0.1%
2501728	1	< 0.1%
2501726	1	< 0.1%
2501725	1	< 0.1%
2501724	1	< 0.1%
2501723	1	< 0.1%
2501722	1	< 0.1%
2501720	1	< 0.1%
2501719	1	< 0.1%
2501718	1	< 0.1%

date
Date

Distinct	446
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	32.3 MiB

Minimum	2016-01-02 00:00:00
Maximum	2017-12-05 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

store_id
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	1591
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2653.210929

Minimum	2
Maximum	5855
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.3 MiB

Quantile statistics

Minimum	2
5-th percentile	166
Q1	1640
median	2734
Q3	3785
95-th percentile	5443
Maximum	5855
Range	5853
Interquartile range (IQR)	2145

Descriptive statistics

Standard deviation	1375.886199
Coefficient of variation (CV)	0.518573998
Kurtosis	-0.4108450181
Mean	2653.210929
Median Absolute Deviation (MAD)	1060
Skewness	0.07630074236
Sum	5616940400
Variance	1893062.833
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
240	4410	0.2%
3809	4256	0.2%
1044	3964	0.2%
3846	3949	0.2%
3842	3939	0.2%
2382	3925	0.2%
3812	3919	0.2%
3813	3820	0.2%
5855	3772	0.2%
3821	3769	0.2%
Other values (1581)	2077312	98.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	930	< 0.1%
4	581	< 0.1%
5	544	< 0.1%
6	657	< 0.1%
7	454	< 0.1%
8	316	< 0.1%
9	892	< 0.1%
10	276	< 0.1%
11	366	< 0.1%
12	307	< 0.1%

Value	Count	Frequency (%)
5855	3772	0.2%
5851	1133	0.1%
5850	1714	0.1%
5844	899	< 0.1%
5843	1482	0.1%
5827	1666	0.1%
5825	2324	0.1%
5817	3211	0.2%
5815	2408	0.1%
5813	3276	0.2%

format
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	147.0 MiB

Grocery	655581
AllInOne	622612
Leftorium	404589
GipsyTrade	223873
Shop	161863
Other values (5)	48517

Length

Max length	11
Median length	8
Mean length	7.8059777
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Grocery
2nd row	Leftorium
3rd row	Leftorium
4th row	Grocery
5th row	Leftorium

Common Values

Value	Count	Frequency (%)
Grocery	655581	31.0%
AllInOne	622612	29.4%
Leftorium	404589	19.1%
GipsyTrade	223873	10.6%
Shop	161863	7.6%
GreatShop	37222	1.8%
TinyShop	7812	0.4%
SmallShop	3145	0.1%
Center	287	< 0.1%
SuperMarket	51	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
grocery	655581	31.0%
allinone	622612	29.4%
leftorium	404589	19.1%
gipsytrade	223873	10.6%
shop	161863	7.6%
greatshop	37222	1.8%
tinyshop	7812	0.4%
smallshop	3145	0.1%
center	287	< 0.1%
supermarket	51	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

store_name
Categorical

HIGH CARDINALITY

Distinct	1560
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	173.9 MiB

Last Golden Convenience	5043
Bloody Chocolate AllInOne	4787
Short Olive BigCom	4730
Dull Navy BookShop	4410
Empty Grey HairDresser	4256
Other values (1555)	2093809

Length

Max length	32
Median length	21
Mean length	21.14351062
Min length	10

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	< 0.1%

Sample

1st row	Bizarre Salmon Market
2nd row	Young Khaki TallMarket
3rd row	Big Salmon Deli
4th row	Bad Crimson Shop
5th row	Kicking Lemon LunchHall

Common Values

Value	Count	Frequency (%)
Last Golden Convenience	5043	0.2%
Bloody Chocolate AllInOne	4787	0.2%
Short Olive BigCom	4730	0.2%
Dull Navy BookShop	4410	0.2%
Empty Grey HairDresser	4256	0.2%
Awesome Yellow Stationer	4151	0.2%
Kicking Brown Convenience	4063	0.2%
Dead Lemon Tobacconist	3964	0.2%
Bizarre Salmon BookShop	3949	0.2%
Angry Green Laundrette	3939	0.2%
Other values (1550)	2073743	98.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
green	122729	1.9%
blue	110863	1.7%
shop	81388	1.3%
stationer	79612	1.2%
fishmonger	77711	1.2%
florist	76485	1.2%
young	76140	1.2%
deli	75790	1.2%
mall	74590	1.2%
tallmarket	74585	1.2%
Other values (102)	5563907	86.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

structure
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	144.9 MiB

METRO	1135001
FORANEO	726595
DISTRIBUIDORES	255439

Length

Max length	14
Median length	5
Mean length	6.772356621
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	FORANEO
2nd row	METRO
3rd row	METRO
4th row	METRO
5th row	FORANEO

Common Values

Value	Count	Frequency (%)
METRO	1135001	53.6%
FORANEO	726595	34.3%
DISTRIBUIDORES	255439	12.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
metro	1135001	53.6%
foraneo	726595	34.3%
distribuidores	255439	12.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

division
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	157.8 MiB

METRO-NORTE	597048
METRO-SUR	537953
CENTRO	233276
BAJÍO	220487
CENTRO-SUR	128802
Other values (6)	399469

Length

Max length	11
Median length	9
Mean length	8.709758696
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BAJÍO
2nd row	METRO-NORTE
3rd row	METRO-SUR
4th row	METRO-NORTE
5th row	BAJÍO

Common Values

Value	Count	Frequency (%)
METRO-NORTE	597048	28.2%
METRO-SUR	537953	25.4%
CENTRO	233276	11.0%
BAJÍO	220487	10.4%
CENTRO-SUR	128802	6.1%
OCCIDENTE	117924	5.6%
SURESTE	94048	4.4%
PENÍNSULA	72708	3.4%
NORESTE	52688	2.5%
SUROESTE	34513	1.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
metro-norte	597048	28.2%
metro-sur	537953	25.4%
centro	233276	11.0%
bajío	220487	10.4%
centro-sur	128802	6.1%
occidente	117924	5.6%
sureste	94048	4.4%
península	72708	3.4%
noreste	52688	2.5%
suroeste	34513	1.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

deposit/distributor
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	73
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	168.1 MiB

Emolor Vocals	285854
Lorthogus Toughworks	154174
Thrilthoal Empire	153812
Thrilvitar Industrail	124420
Ioalfio Ifonforge Industries	120507
Other values (68)	1278268

Length

Max length	32
Median length	17
Mean length	18.26221012
Min length	12

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Argule Ifonforge Industries
2nd row	Emolor Vocals
3rd row	Thrilthoal Empire
4th row	Lorthogus Toughworks
5th row	Argule Ifonforge Industries

Common Values

Value	Count	Frequency (%)
Emolor Vocals	285854	13.5%
Lorthogus Toughworks	154174	7.3%
Thrilthoal Empire	153812	7.3%
Thrilvitar Industrail	124420	5.9%
Ioalfio Ifonforge Industries	120507	5.7%
Thrilvallor Corp.	103629	4.9%
Argule Ifonforge Industries	84057	4.0%
Rusrusmo Toughworks	80754	3.8%
Erodmad Industrail	72370	3.4%
Elortho Aerospace	71482	3.4%
Other values (63)	865976	40.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
vocals	502748	11.0%
industries	320214	7.0%
ifonforge	320214	7.0%
emolor	285854	6.3%
toughworks	285280	6.3%
industrail	270849	5.9%
empire	235293	5.2%
corp	212078	4.7%
lorthogus	154174	3.4%
thrilthoal	153812	3.4%
Other values (72)	1813768	39.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

state
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	29
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	147.9 MiB

Alloralf	691507
Magornmar	554462
Lorvalmo	92626
Thrilvallor	90364
Erodmo	77317
Other values (24)	610759

Length

Max length	11
Median length	8
Mean length	8.266879386
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Lorvalmo
2nd row	Magornmar
3rd row	Magornmar
4th row	Alloralf
5th row	Lorvalmo

Common Values

Value	Count	Frequency (%)
Alloralf	691507	32.7%
Magornmar	554462	26.2%
Lorvalmo	92626	4.4%
Thrilvallor	90364	4.3%
Erodmo	77317	3.7%
Egusgul	72771	3.4%
Coalmar	61526	2.9%
Lorgulgus	56432	2.7%
Nabargus	54921	2.6%
Alfrusma	54086	2.6%
Other values (19)	311023	14.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
alloralf	691507	32.7%
magornmar	554462	26.2%
lorvalmo	92626	4.4%
thrilvallor	90364	4.3%
erodmo	77317	3.7%
egusgul	72771	3.4%
coalmar	61526	2.9%
lorgulgus	56432	2.7%
nabargus	54921	2.6%
alfrusma	54086	2.6%
Other values (19)	311023	14.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

municipality/city
Categorical

HIGH CARDINALITY

Distinct	310
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	170.3 MiB

Enlightened Dark Empire	513610
Evil Chocolate Rock	79646
First Salmon Rock	67596
Purple Creek	66267
Long Lavender Butter	55443
Other values (305)	1334473

Length

Max length	28
Median length	20
Mean length	19.32658411
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	First Salmon Rock
2nd row	Enlightened Dark Empire
3rd row	Enlightened Dark Empire
4th row	Long Lavender Butter
5th row	First Salmon Rock

Common Values

Value	Count	Frequency (%)
Enlightened Dark Empire	513610	24.3%
Evil Chocolate Rock	79646	3.8%
First Salmon Rock	67596	3.2%
Purple Creek	66267	3.1%
Long Lavender Butter	55443	2.6%
Last Pink River	54959	2.6%
Horrible Chartreuse Mud	51515	2.4%
Rare Lemon Key	44927	2.1%
Clean Aqua Soil	40750	1.9%
Angry Navy Empire	40639	1.9%
Other values (300)	1101683	52.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
empire	596058	9.5%
dark	534725	8.5%
enlightened	528657	8.4%
rock	193255	3.1%
evil	171744	2.7%
chocolate	170371	2.7%
purple	109814	1.7%
tree	105747	1.7%
first	99264	1.6%
long	96855	1.5%
Other values (107)	3680619	58.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

supplier
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	153.4 MiB

proveedor_2	1917950
proveedor_1	199085

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	proveedor_2
2nd row	proveedor_2
3rd row	proveedor_2
4th row	proveedor_2
5th row	proveedor_2

Common Values

Value	Count	Frequency (%)
proveedor_2	1917950	90.6%
proveedor_1	199085	9.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
proveedor_2	1917950	90.6%
proveedor_1	199085	9.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

grade
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	134.9 MiB

IV	1037575
V	554462
III	214383
VI	186672
II	119681

Length

Max length	3
Median length	2
Mean length	1.837347517
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	IV
2nd row	V
3rd row	V
4th row	IV
5th row	IV

Common Values

Value	Count	Frequency (%)
IV	1037575	49.0%
V	554462	26.2%
III	214383	10.1%
VI	186672	8.8%
II	119681	5.7%
I	4262	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
iv	1037575	49.0%
v	554462	26.2%
iii	214383	10.1%
vi	186672	8.8%
ii	119681	5.7%
i	4262	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

sku
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	34
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4525981.968

Minimum	4220015
Maximum	4829827
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.3 MiB

Quantile statistics

Minimum	4220015
5-th percentile	4230022
Q1	4351043
median	4533931
Q3	4739414
95-th percentile	4809797
Maximum	4829827
Range	609812
Interquartile range (IQR)	388371

Descriptive statistics

Standard deviation	204325.5328
Coefficient of variation (CV)	0.04514501699
Kurtosis	-1.399950746
Mean	4525981.968
Median Absolute Deviation (MAD)	182888
Skewness	-0.03917794757
Sum	9.581662236 × 10¹²
Variance	4.174892337 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
4769520	139132	6.6%
4230022	129366	6.1%
4351043	127350	6.0%
4779537	119365	5.6%
4789544	99068	4.7%
4330800	97645	4.6%
4533931	97260	4.6%
4240039	97197	4.6%
4250046	93645	4.4%
4554143	92176	4.4%
Other values (24)	1024831	48.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4220015	57553	2.7%
4230022	129366	6.1%
4240039	97197	4.6%
4250046	93645	4.4%
4260053	8939	0.4%
4330800	97645	4.6%
4351043	127350	6.0%
4361050	79798	3.8%
4381425	90842	4.3%
4422187	19356	0.9%

Value	Count	Frequency (%)
4829827	27367	1.3%
4819810	53972	2.5%
4809797	84737	4.0%
4789544	99068	4.7%
4779537	119365	5.6%
4769520	139132	6.6%
4749421	2987	0.1%
4739414	2752	0.1%
4729193	16665	0.8%
4719179	3264	0.2%

sku_description
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	34
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	178.6 MiB

Cornflakes Chocolate Choc Chip	139132
Crunch Life Chocolate	129366
Graham Mango Peach	127350
Crunchy Bran Chocolate Choc Chip	119365
Crunchy Nut Cornflakes Chocolate Choc Chip	99068
Other values (29)	1502754

Length

Max length	42
Median length	22
Mean length	23.46612786
Min length	15

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Muesli Chocolate
2nd row	Cups Mango Peach
3rd row	Fruit & Nut Chocolate Choc Chip
4th row	Graham Mango Peach
5th row	Crunch Berries Mango Peach

Common Values

Value	Count	Frequency (%)
Cornflakes Chocolate Choc Chip	139132	6.6%
Crunch Life Chocolate	129366	6.1%
Graham Mango Peach	127350	6.0%
Crunchy Bran Chocolate Choc Chip	119365	5.6%
Crunchy Nut Cornflakes Chocolate Choc Chip	99068	4.7%
Crunch Mango Peach	97645	4.6%
Cups Mango Peach	97260	4.6%
Lucjy Charms Chocolate	97197	4.6%
Muesli Chocolate	93645	4.4%
Stars Mango Peach	92176	4.4%
Other values (24)	1024831	48.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
chocolate	1136530	14.6%
mango	980505	12.6%
peach	980505	12.6%
choc	749830	9.7%
chip	749830	9.7%
crunch	318919	4.1%
crunchy	295491	3.8%
bran	281160	3.6%
cornflakes	252655	3.3%
lucjy	153795	2.0%
Other values (28)	1865012	24.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

sku_category
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	153.7 MiB

Sugar-free	1329011
Super-flavour	788024

Length

Max length	13
Median length	10
Mean length	11.11669009
Min length	10

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sugar-free
2nd row	Super-flavour
3rd row	Sugar-free
4th row	Sugar-free
5th row	Sugar-free

Common Values

Value	Count	Frequency (%)
Sugar-free	1329011	62.8%
Super-flavour	788024	37.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
sugar-free	1329011	62.8%
super-flavour	788024	37.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

sku_subcategory
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	152.7 MiB

Cereal bars	1329011
Cereal box	788024

Length

Max length	11
Median length	11
Mean length	10.62776997
Min length	10

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Cereal bars
2nd row	Cereal box
3rd row	Cereal bars
4th row	Cereal bars
5th row	Cereal bars

Common Values

Value	Count	Frequency (%)
Cereal bars	1329011	62.8%
Cereal box	788024	37.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
cereal	2117035	50.0%
bars	1329011	31.4%
box	788024	18.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

units
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	822
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	32.81549543

Minimum	0.2
Maximum	172
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.3 MiB

Quantile statistics

Minimum	0.2
5-th percentile	2.7
Q1	10
median	20
Q3	45.36
95-th percentile	120
Maximum	172
Range	171.8
Interquartile range (IQR)	35.36

Descriptive statistics

Standard deviation	35.03071821
Coefficient of variation (CV)	1.067505389
Kurtosis	2.584247665
Mean	32.81549543
Median Absolute Deviation (MAD)	13.25
Skewness	1.736329198
Sum	69471552.37
Variance	1227.151218
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10.8	171931	8.1%
12	125606	5.9%
24	121115	5.7%
4.8	112482	5.3%
6.75	106746	5.0%
60	85394	4.0%
21.6	70503	3.3%
20	70028	3.3%
36	69455	3.3%
48	69374	3.3%
Other values (812)	1114401	52.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.2	658	< 0.1%
0.25	20	< 0.1%
0.4	2414	0.1%
0.45	556	< 0.1%
0.5	6	< 0.1%
0.6	1720	0.1%
0.75	6	< 0.1%
0.8	2024	0.1%
0.9	2617	0.1%
1	2016	0.1%

Value	Count	Frequency (%)
172	21	< 0.1%
171	15	< 0.1%
170.1	1051	< 0.1%
170	12	< 0.1%
169	14	< 0.1%
168.75	7	< 0.1%
168.21	29	< 0.1%
168	10294	0.5%
167	48	< 0.1%
166.32	143	< 0.1%

unit_price
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	231
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.37807589

Minimum	10.97
Maximum	47.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.3 MiB

Quantile statistics

Minimum	10.97
5-th percentile	12.67
Q1	13.74
median	15.08
Q3	36.23
95-th percentile	42.14
Maximum	47.8
Range	36.83
Interquartile range (IQR)	22.49

Descriptive statistics

Standard deviation	11.79541157
Coefficient of variation (CV)	0.5045501444
Kurtosis	-1.514331558
Mean	23.37807589
Median Absolute Deviation (MAD)	2.94
Skewness	0.5524296635
Sum	49492204.89
Variance	139.131734
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18.37	70410	3.3%
19.6	59446	2.8%
36.23	48205	2.3%
13.39	47212	2.2%
13.12	46290	2.2%
12.86	43829	2.1%
35.54	40200	1.9%
36.06	39858	1.9%
13.84	39587	1.9%
13.55	37771	1.8%
Other values (221)	1644227	77.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
10.97	14084	0.7%
11.09	20298	1.0%
11.19	4956	0.2%
11.31	6629	0.3%
11.4	10846	0.5%
11.54	1965	0.1%
11.6	13	< 0.1%
11.62	5166	0.2%
11.79	6	< 0.1%
11.82	8295	0.4%

Value	Count	Frequency (%)
47.8	1796	0.1%
47.35	630	< 0.1%
46.96	312	< 0.1%
46.9	2	< 0.1%
46.84	1924	0.1%
46.7	323	< 0.1%
46.4	1	< 0.1%
46.36	750	< 0.1%
45.47	1	< 0.1%
45.24	2487	0.1%

unit_margin
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	366
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.96744954

Minimum	5.4
Maximum	39.15
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.3 MiB

Quantile statistics

Minimum	5.4
5-th percentile	7.09
Q1	9.67
median	10.62
Q3	27.28
95-th percentile	32.78
Maximum	39.15
Range	33.75
Interquartile range (IQR)	17.61

Descriptive statistics

Standard deviation	9.370304831
Coefficient of variation (CV)	0.5522518167
Kurtosis	-1.333476509
Mean	16.96744954
Median Absolute Deviation (MAD)	1.86
Skewness	0.6072504708
Sum	35920684.53
Variance	87.80261263
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12.64	48447	2.3%
9.49	39587	1.9%
10.17	35512	1.7%
13.64	34380	1.6%
9.56	32877	1.6%
9.84	32501	1.5%
9.67	30277	1.4%
27.18	29576	1.4%
10	27717	1.3%
9.29	26761	1.3%
Other values (356)	1779400	84.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
5.4	14084	0.7%
5.51	20298	1.0%
5.55	5609	0.3%
5.62	4956	0.2%
5.73	6629	0.3%
5.75	13	< 0.1%
5.78	2565	0.1%
5.82	5237	0.2%
5.94	6	< 0.1%
5.96	846	< 0.1%

Value	Count	Frequency (%)
39.15	312	< 0.1%
39.04	1924	0.1%
38.55	750	< 0.1%
38.22	1796	0.1%
37.77	630	< 0.1%
37.66	1	< 0.1%
37.32	2	< 0.1%
37.12	323	< 0.1%
36.82	1	< 0.1%
36.8	675	< 0.1%

total
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	10633
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	595.3688936

Minimum	4.505
Maximum	3083.13
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.3 MiB

Quantile statistics

Minimum	4.505
5-th percentile	87.624
Q1	190.416
median	394.956
Q3	814.104
95-th percentile	1826.88
Maximum	3083.13
Range	3078.625
Interquartile range (IQR)	623.688

Descriptive statistics

Standard deviation	556.1532946
Coefficient of variation (CV)	0.9341322675
Kurtosis	2.090083149
Mean	595.3688936
Median Absolute Deviation (MAD)	228.876
Skewness	1.576944355
Sum	1260416786
Variance	309306.4871
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
123.9975	29716	1.4%
132.3	28268	1.3%
173.904	20806	1.0%
389.448	16004	0.8%
386.316	15852	0.7%
247.995	15548	0.7%
264.6	14144	0.7%
407.052	13650	0.6%
178.656	13435	0.6%
267.8	12900	0.6%
Other values (10623)	1936712	91.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4.505	1	< 0.1%
4.5925	8	< 0.1%
4.73	2	< 0.1%
4.9	5	< 0.1%
7.108	58	< 0.1%
7.246	24	< 0.1%
7.2775	3	< 0.1%
7.302	8	< 0.1%
7.444	14	< 0.1%
7.548	113	< 0.1%

Value	Count	Frequency (%)
3083.13	2	< 0.1%
3082.9005	4	< 0.1%
3078.387	1	< 0.1%
3078	7	< 0.1%
3075.246	1	< 0.1%
3073.44	1	< 0.1%
3073.428	3	< 0.1%
3072.304	1	< 0.1%
3072.006	4	< 0.1%
3071.709	1	< 0.1%

total_margin
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	14531
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	423.6205214

Minimum	3.0725
Maximum	2529.792
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.3 MiB

Quantile statistics

Minimum	3.0725
5-th percentile	63.576
Q1	133.65
median	289.575
Q3	583.8
95-th percentile	1301.52
Maximum	2529.792
Range	2526.7195
Interquartile range (IQR)	450.15

Descriptive statistics

Standard deviation	402.4650316
Coefficient of variation (CV)	0.950060281
Kurtosis	2.826570142
Mean	423.6205214
Median Absolute Deviation (MAD)	173.535
Skewness	1.699498889
Sum	896819470.6
Variance	161978.1017
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
85.32	19095	0.9%
92.07	16462	0.8%
311.58	13650	0.6%
130.944	13435	0.6%
113.04	12360	0.6%
170.64	10853	0.5%
265.032	9821	0.5%
82.9575	9788	0.5%
113.88	9111	0.4%
227.76	8666	0.4%
Other values (14521)	1993794	94.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3.0725	1	< 0.1%
3.1125	1	< 0.1%
3.12	1	< 0.1%
3.16	6	< 0.1%
3.2475	2	< 0.1%
3.41	4	< 0.1%
3.4275	1	< 0.1%
4.572	38	< 0.1%
4.71	11	< 0.1%
4.95	3	< 0.1%

Value	Count	Frequency (%)
2529.792	3	< 0.1%
2525.04	22	< 0.1%
2524.32	7	< 0.1%
2517.12	11	< 0.1%
2498.04	2	< 0.1%
2496.312	16	< 0.1%
2492.766	2	< 0.1%
2485.656	7	< 0.1%
2478.168	253	< 0.1%
2472.876	22	< 0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	id	date	store_id	format	store_name	structure	division	deposit/distributor	state	municipality/city	supplier	grade	sku	sku_description	sku_category	sku_subcategory	units	unit_price	unit_margin	total	total_margin
0	0	2016-01-02	1292	Grocery	Bizarre Salmon Market	FORANEO	BAJÍO	Argule Ifonforge Industries	Lorvalmo	First Salmon Rock	proveedor_2	IV	4250046	Muesli Chocolate	Sugar-free	Cereal bars	12.00	13.88	9.59	166.5600	115.0800
1	1	2016-01-02	2466	Leftorium	Young Khaki TallMarket	METRO	METRO-NORTE	Emolor Vocals	Magornmar	Enlightened Dark Empire	proveedor_2	V	4533931	Cups Mango Peach	Super-flavour	Cereal box	43.20	36.06	24.54	1557.7920	1060.1280
2	2	2016-01-02	1460	Leftorium	Big Salmon Deli	METRO	METRO-SUR	Thrilthoal Empire	Magornmar	Enlightened Dark Empire	proveedor_2	V	4819810	Fruit & Nut Chocolate Choc Chip	Sugar-free	Cereal bars	27.00	19.60	13.64	529.2000	368.2800
3	4	2016-01-02	3543	Grocery	Bad Crimson Shop	METRO	METRO-NORTE	Lorthogus Toughworks	Alloralf	Long Lavender Butter	proveedor_2	IV	4351043	Graham Mango Peach	Sugar-free	Cereal bars	17.01	13.18	9.67	224.1918	164.4867
4	5	2016-01-02	3586	Leftorium	Kicking Lemon LunchHall	FORANEO	BAJÍO	Argule Ifonforge Industries	Lorvalmo	First Salmon Rock	proveedor_2	IV	4422187	Crunch Berries Mango Peach	Sugar-free	Cereal bars	13.50	18.37	12.48	247.9950	168.4800
5	8	2016-01-02	2951	AllInOne	Alive Azure Center	FORANEO	SURESTE	Eioval Aerospace	Coalmar	Rare Orange Applepie	proveedor_2	VI	4554143	Stars Mango Peach	Sugar-free	Cereal bars	12.00	14.19	9.84	170.2800	118.0800
6	9	2016-01-02	2666	AllInOne	Awesome Silver Cafe	FORANEO	CENTRO-SUR	Erodmad Industrail	Egusgul	Dead Orange Ship	proveedor_2	IV	4533931	Cups Mango Peach	Super-flavour	Cereal box	21.60	36.06	24.54	778.8960	530.0640
7	10	2016-01-02	2219	Leftorium	Funny Pink Jeweller	METRO	METRO-NORTE	Ioarco Corp.	Alloralf	Tiny Chocolate River	proveedor_2	IV	4789544	Crunchy Nut Cornflakes Chocolate Choc Chip	Super-flavour	Cereal box	43.20	35.77	28.77	1545.2640	1242.8640
8	11	2016-01-02	3798	AllInOne	Enlightened Green Fishmonger	METRO	METRO-NORTE	Emolor Vocals	Alloralf	Last Pink River	proveedor_2	IV	4665676	Crunch Chocolate Choc Chip	Super-flavour	Cereal box	32.40	37.69	28.85	1221.1560	934.7400
9	13	2016-01-02	3799	AllInOne	Enlightened Olive Florist	METRO	METRO-SUR	Thrilvitar Industrail	Magornmar	Enlightened Dark Empire	proveedor_2	V	4665676	Crunch Chocolate Choc Chip	Super-flavour	Cereal box	54.00	37.69	28.85	2035.2600	1557.9000

Last rows

	id	date	store_id	format	store_name	structure	division	deposit/distributor	state	municipality/city	supplier	grade	sku	sku_description	sku_category	sku_subcategory	units	unit_price	unit_margin	total	total_margin
2117025	2501718	2017-12-05	2591	AllInOne	Cyan BigCom	FORANEO	SURESTE	Malormad Corp.	Thogulgul	Awesome Blue City	proveedor_2	II	4809797	Fruit & Bran Chocolate Choc Chip	Sugar-free	Cereal bars	6.75	19.29	13.36	130.2075	90.18
2117026	2501719	2017-12-05	1008	AllInOne	Dangerous Pink Stationer	DISTRIBUIDORES	CENTRO	Movitalf Empire	Alloralf	Long Chocolate Barrier	proveedor_2	IV	4250046	Muesli Chocolate	Sugar-free	Cereal bars	48.00	15.17	10.66	728.1600	511.68
2117027	2501720	2017-12-05	1653	Grocery	Tiny Silver GreatShop	DISTRIBUIDORES	BAJÍO	Rusloralf Inc.	Erodmo	Angry Fuchsia Bay	proveedor_2	III	4769520	Cornflakes Chocolate Choc Chip	Super-flavour	Cereal box	1.60	42.58	32.55	68.1280	52.08
2117028	2501722	2017-12-05	2159	Grocery	Legendary Magenta Butcher	DISTRIBUIDORES	CENTRO	Movitalf Empire	Alloralf	Long Chocolate Barrier	proveedor_2	IV	4230022	Crunch Life Chocolate	Sugar-free	Cereal bars	10.00	13.88	9.81	138.8000	98.10
2117029	2501723	2017-12-05	240	Shop	Dull Navy BookShop	METRO	METRO-SUR	Thrilthoal Empire	Alloralf	Rare Lemon Key	proveedor_1	IV	4543948	Puffs Mango Peach	Super-flavour	Cereal box	5.40	43.25	31.90	233.5500	172.26
2117030	2501724	2017-12-05	1672	Grocery	Awful Red Convenience	METRO	METRO-SUR	Ioalfio Ifonforge Industries	Magornmar	Enlightened Dark Empire	proveedor_2	V	4769520	Cornflakes Chocolate Choc Chip	Super-flavour	Cereal box	14.40	42.58	32.55	613.1520	468.72
2117031	2501725	2017-12-05	1075	GipsyTrade	Kicking Navy Florist	FORANEO	CENTRO	Elortho Aerospace	Alloralf	Awful Beige	proveedor_2	IV	4789544	Crunchy Nut Cornflakes Chocolate Choc Chip	Super-flavour	Cereal box	13.50	42.75	35.06	577.1250	473.31
2117032	2501726	2017-12-05	3995	Grocery	Empty Sky Blue GipsyTrade	FORANEO	CENTRO-SUR	Gorngusco Toughworks	Lorgulgus	Horrible Purple Tree	proveedor_2	IV	4442378	Crunchy Bran Mango Peach	Sugar-free	Cereal bars	156.00	11.82	5.98	1843.9200	932.88
2117033	2501728	2017-12-05	2708	Grocery	Long Chartreuse Stationer	METRO	METRO-SUR	Thrilthoal Empire	Magornmar	Enlightened Dark Empire	proveedor_2	V	4330800	Crunch Mango Peach	Sugar-free	Cereal bars	24.00	14.88	10.02	357.1200	240.48
2117034	2501729	2017-12-05	1779	Grocery	Funny Sea Green AllInOne	METRO	METRO-SUR	Barmaralf Inc.	Alloralf	New Aqua Jungle	proveedor_2	IV	4230022	Crunch Life Chocolate	Sugar-free	Cereal bars	16.00	13.88	9.81	222.0800	156.96

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart